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unlomtrois

scholar-mcp

by unlomtrois
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Python
Local

little-librarian

A local MCP server that indexes .epub files and exposes semantic search tools backed by pplx-embed-context-v1 (late chunking) and Qdrant.

MCP client (Claude Desktop, Claude Code, …)
     │
     ▼  tool calls via MCP
 server.py
  pplx-embed-context-v1-0.6b  +  Qdrant (local)

Files

File

Role

server.py

MCP server — epub ingestion, embedding, search, Qdrant storage

code_librarian.py

Separate MCP server for code (AST-based chunking)

Related MCP server: ragi

Why pplx-embed-context-v1

Uses late chunking: all chunks from a chapter go through a single forward pass, so each chunk embedding captures full document context without needing a doc-prefix at inference time. Scores 81.96 nDCG@10 on ConTEB.

Quick start

# 1. install
pip install -e .

# 2. ingest your library (runs embedding, then exits)
HF_HUB_OFFLINE=0 python server.py --index ./library

# 3. start the MCP server
python server.py

# optional: preload the model at startup
python server.py --preload

MCP tools

Tool

Description

search(query, top_k)

Semantic search, returns top-k passages with scores

search_groups(query, group_by, limit, group_size)

Search grouped by "book" or "chapter" — best for cross-volume research

get_passage(book, chapter, max_chars)

Retrieve full text for a book/chapter

list_books()

List all indexed books with chapter counts

collection_stats()

Qdrant collection info (point count, vector size)

library_stats()

Full content breakdown: books, chapters, chunks per book, avg chunk length

get_device()

Show which device (CPU/GPU) is used for embeddings

Claude Desktop config

{
  "mcpServers": {
    "little-librarian": {
      "command": "python",
      "args": ["/path/to/server.py"]
    }
  }
}

Hardware guidance

Setup

Min VRAM

CPU only

0 GB

GPU (pplx-embed-0.6b)

~2 GB

This server cannot be installed

F
license - not found
-
quality - not tested
D
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

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